Correlation Effects in Biological Networks

Authors A.A. Bagdasaryan , V.N. Borisyuk

Sumy State University, 2, Rimsky-Korsakov Str., 40007 Sumy, Ukraine

Issue Volume 4, Year 2012, Number 2
Dates Reseived 13 December 2011; revised manuscript received 27 May 2012; published online 04 June 2012
Citation A.A. Bagdasaryan, V.N. Borisyuk, J. Nano- Electron. Phys. 4 No 2, 02027 (2012)
PACS Number(s) 2.10.Oх, 89.75.HHc
Keywords Complex network, Correlation (5) , Cluster coefficient, Adjacency matrix.
Annotation Review of the complex network theory is presented and classification of such networks in accordance with the main statistical characteristics is considered. For the adjacency matrix of a real neural network the shortest distances for each pair of nodes as well as the node degree distribution and cluster coefficients are calculated. Comparison of the main statistical parameters with the random network is performed, and based on this, the conclusions about the correlation phenomena in biological system are made.

List of References

English version of article